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Zapiski Nauchnykh Seminarov POMI, 2016, Volume 454, Pages 261–275
(Mi znsl6398)
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This article is cited in 6 scientific papers (total in 6 papers)
Adaptive estimation of function observed in Gaussian stationary noise
V. N. Solevab a St. Petersburg Department of Steklov Mathematical Institute of Russian Academy of Sciences, St. Petersburg, Russia
b St. Petersburg State University, St. Petersburg, Russia
Abstract:
In the article we propose an adaptive estimation of the unknown pseudo periodic function which observed in stationary noise with the unknown spectral density which belongs to a given class. We compare the accuracy of the proposed estimation with the minimax risk and give a lower bound for the minimax risk.
Key words and phrases:
pseudo periodic function, nonparametric estimating, process with stationary increments.
Received: 20.11.2016
Citation:
V. N. Solev, “Adaptive estimation of function observed in Gaussian stationary noise”, Probability and statistics. Part 24, Zap. Nauchn. Sem. POMI, 454, POMI, St. Petersburg, 2016, 261–275; J. Math. Sci. (N. Y.), 229:6 (2018), 772–781
Linking options:
https://www.mathnet.ru/eng/znsl6398 https://www.mathnet.ru/eng/znsl/v454/p261
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Abstract page: | 4247 | Full-text PDF : | 49 | References: | 34 |
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